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The mean error values ranged from − 19.2 to 35.4.
Table 4 Modified mean error values in dB.
Generally, the mean error values for both temperature and precipitation were relatively small.
Table 5 Mean error values in dB for different noise levels.
The mean error values of precipitation from all three weather stations ranged from − 0.19 to 0.05.
The graphical representation and mean error values depicts the uncertainties of ANFIS controller over wide span of time.
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The results show that the mean error value is acceptable in all cases and indicate the parameter ranges for which the model is most accurate.
All four methods selected the filter pair (XF2014-XF2030) for the minimum Δ E a b * with the average mean error value of 0.387.
The mean error value between the image on the monitor screen and the real location in the phantom and the clinical study was 1.45 mm (± 0.99) and 4.05 mm (± 3.62), respectively.
Results show that the root mean square error, mean absolute percentage error, and mean bias error values of the proposed model are 18.98%, 6.38% and 2.86%, respectively.
The accuracy of the each model was evaluated based on the correlation coefficient, mean absolute error, mean bias error and root mean square error values.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com